Modelling Human Trust in Robots During Repeated Interactions

Human–robot interaction
DOI: 10.1145/3623809.3623892 Publication Date: 2023-12-03T17:50:35Z
ABSTRACT
Modelling humans' trust in robots is critical during human-robot interaction (HRI) to avoid under- or over-reliance on robots. Currently, it challenging calibrate real-time. Consequently, we see limited work calibrating HRI. In this paper describe a mathematical model that attempts emulate the three-layered (initial, situational, learned) framework of capable potentially estimating We evaluated an experimental setup involved participants playing game four occasions. validate based linear regression analysis showed perception score (TPS) and session predicted modelled (TMS) computed by applying model. also show TPS TMS did not change significantly from second fourth session. However, captured last increased first The described initial effort three layers robot repeated HRI requires further testing extension improve its robustness across settings.
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